HP HP Spectre x360 2-in-1 Laptop 14-eu0xxx
Geekbench AI Score
2720
Single Precision Score
1152
Half Precision Score
3672
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 05:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Spectre x360 2-in-1 Laptop 14-eu0xxx |
| Motherboard | HP 8C15 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1725
320.8 IPS |
|
|
Image Classification (HP)
|
100% |
419
77.9 IPS |
|
|
Image Classification (Q)
|
99% |
3231
602.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1263
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
858
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2618
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5447
6.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2785
3.25 IPS |
|
|
Pose Estimation (Q)
|
95% |
20840
24.4 IPS |
|
|
Object Detection (SP)
|
100% |
1791
142.0 IPS |
|
|
Object Detection (HP)
|
100% |
500
39.7 IPS |
|
|
Object Detection (Q)
|
88% |
1683
134.9 IPS |
|
|
Face Detection (SP)
|
100% |
3443
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
1368
16.3 IPS |
|
|
Face Detection (Q)
|
97% |
3580
42.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5567
42.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1559
12.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
6802
54.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12358
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8172
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
17721
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2117
78.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1585
58.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3491
129.3 IPS |
|
|
Text Classification (SP)
|
100% |
1286
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
576
769.4 IPS |
|
|
Text Classification (Q)
|
97% |
514
688.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1622
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
519
8.95 IPS |
|
|
Machine Translation (Q)
|
60% |
1942
43.3 IPS |
